Improving the Accessibility of the Traditional Lecture: An Automated Tool for Supporting Transcription

Abstract

The lecture is in its multiple forms the most commonly used method for transferring information in the University curriculum, yet there are serious questions regarding its effectiveness and accessibility in relation to disabled students and those for whom English is not their first language. Although there has been substantial progress that has been made in the area of Automatic Speech Recognition, current systems are still below the level required for accurate transcription of lectures. The Semantic and Syntactic Transcription Analysing Tool is a step forward in the production of meaningful postlecture materials, with minimal investment in time and effort by academic staff. This paper reports on the results of a study to assess the validity of SSTAT.

Contributors

Miltiades Papadopoulos

Elaine Pearson

Conference

Publication date: September 2012

Publication date (Print): September 2012

Pages: 127-136

Affiliations

Teesside University

United Kingdom

Article

DOI: 10.14236/ewic/HCI2012.18

Copyright statement: © Miltiades Papadopoulos et al. Published by BCS Learning and Development Ltd. The 26th BCS Conference on Human Computer Interaction, Birmingham, UK

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: The 26th BCS Conference on Human Computer Interaction

Conference acronym: HCI

Conference number: 26

Conference location: Birmingham, UK

Conference date: 12 - 14 September 2012

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2012.18

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing